A very interesting paper about accelerating agent-based models with graphics
cards (GPU). I placed the paper at
> -----Original Message-----
> From: rmdsouza at mtu.edu [mailto:rmdsouza at mtu.edu]
> Sent: Friday, December 14, 2007 7:19 AM
> To: stephen.guerin at redfish.com
> Subject: Simulating millions of agents on desktops at over 50
> frames a sec
>
> Steve,
>
> I though the people in the this friam.org may be interested
> in this topic. My group has developed what we believe are the
> first data-parallel algorithms for agent-based model
> simulation. We have implemented these algorithmson a GeForce
> 8800GTX GPU. To the best of my knowledge, this prototype is
> the fastest and most capable ABM simulator in the world.
>
> We have achieved huge increases in performance. For example,
> our implementation of the SugarScape model can handle 2
> million + agents on a
> 2 million + enviroment grid size with visualization at 56
> frames a second.
> Our implementation of Railsback's StupidModel v16 can handle
> 2 million+ bugs (predators, reproduction, movement etc) on a
> 4 million + environment grid at 30 frames a sec. All these
> run on a COTS desktop costing about $1,400. It is faster than
> the typical ABM toolkit such as NetLogo, MASON, Repast, Swarm
> etc by nearly 4 order of magnitude for large problem sizes.
> I am including a paper that was presented at the Agent2007 conference.
> Also here is a link to the website with a few more details.
>
>
http://www.me.mtu.edu/~rmdsouza/ABM_GPU.html>
> Regards,
> Dr. Roshan M. D'Souza PhD
> Asst. Professor
> Dept. of ME-EM
> Michigan Tech University
> Houghton MI 49931
> Ph: 906-487-1001
>